270 search results - page 8 / 54 » Hierarchical Gaussian process latent variable models |
NIPS
2007
14 years 11 months ago
2007
We demonstrate that log-linear grammars with latent variables can be practically trained using discriminative methods. Central to efficient discriminative training is a hierarchi...
PAMI
1998
14 years 9 months ago
1998
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
CORR
2012
Springer
13 years 5 months ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
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ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
105
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CVPR
2009
IEEE
2009
IEEE
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
15 years 1 months ago
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...